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Added 3 mins ago
Manager, Software Engineering
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Full-time
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Merck
Hamilton, ON · Barrie, ON · Kingston, ON · London, ON · Toronto, ON · Kirkland, QC · Pointe-Claire, QC · Montreal, QC · Sherbrooke, QC · Penticton, BC · Edmonton, AB · Calgary, AB
Full-time
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Scotiabank

Manager, Analytics Engineering, Global Transaction Banking Analytics - Toronto

Toronto, ON, M5H 0B4, Canada

Apply by: Oct 14, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

Requisition ID: 273804

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Global Transaction Banking (GTB) is the payments and transaction engine of Scotiabank. We support Small Business, Commercial and Corporate clients with effective treasury management solutions coupled with a best-in-class service model, making it easy for clients to do business with us.

As businesses build their digital capabilities and transform their operating models, their payment needs are evolving too. Boasting a unique global footprint, GTB’s comprehensive suite of innovative banking solutions help our business clients generate operational efficiencies, streamline and simplify payments, improve working capital performance, and mitigate financial risk.

At Scotiabank, we embrace your strengths, ideas, and ambitions. GTB is a fast-growing team with a focus on the Americas, particularly Canada, the U.S., Mexico, and we are seeking top tier talent to complement our organization.

Join a purpose-driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose

The Manager, Analytics Engineering role is a hands-on technical expert responsible for designing, building, and optimizing the analytics data assets, analytical models, and self-serve assets that power GTB’s operational dashboards and advanced analytics and insights. The Individual contributor role plays a critical part in advancing GTB's data strategy by delivering trusted, scalable analytics solutions that improve operational efficiency, client experience, and risk management. The role requires a strong blend of engineering excellence, GTP domain understanding and the ability to collaborate and influence across multiple stakeholders like Product, Sales, Operations, Technology, and Finance teams.

What You’ll Do:

Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
Execute and deliver on the GTB analytics engineering strategy, ensuring alignment with GTB business priorities using modern data practices that support GTB’s need for timely insights, operational monitoring, and predictive analytics.
Design and deliver robust, scalable data pipelines across GTB’s complex product ecosystem (payments, cash management, trade, liquidity, channels) globally across North America, Europe and Latin America
Partner with Technology on the delivery of the modernization effort of GTB’s data landscape, including cloud migration, data governance framework and practices like metadata management, automated data quality checks, and data observability.
Embed data quality checks, lineage, and metadata standards into all engineering workflows within the GTB Analytics ecosystem.
Partner with Business Intelligence and Advanced Analytics teams within GTB Analytics to enable operational dashboards and advanced analytics like forecasting, Gen-AI integration.
Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Consistently ‘does the right thing’ to keep the Bank safe and fosters an environment where they, employees, customers, and stakeholders can speak up / raise concerns.
Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
Champions a high-performance environment and contributes to an inclusive work environment.

What You'll Bring:

Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics, Information Systems, etc.); additional industry courses/designations (e.g., Cloud certifications, Governance certifications like DAMA) are an asset
5+ years in data engineering, analytics engineering, or related fields
Bilingual (English/Spanish)
Strong proficiency in modern data stack technologies (e.g., SQL, Python, dbt, Spark, Cloud data warehouses, orchestration frameworks)
Experience working in financial services or GTB domains is a strong asset.
Demonstrated ability to collaborate across business and technology teams.

Work Arrangement:

Work in a standard office-based environment.

Interested?

If your experience is closely related but doesn’t align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!

At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture.

What's in it for you?

Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

#GTB2026

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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More about this job

Responsibilities

The Manager, Analytics Engineering is responsible for designing, building, and optimizing data assets and analytical models to support operational dashboards and insights. This role involves collaborating with cross-functional teams to deliver scalable data pipelines and modernize the data landscape within the Global Transaction Banking division.

Requirements

Candidates must possess a bachelor's degree in a quantitative or technical field and at least 5 years of experience in data or analytics engineering. Proficiency in modern data stack technologies and bilingualism in English and Spanish are required.

Skills

SQL
Python
Dbt
Spark
Cloud data warehouses
Orchestration frameworks
Data engineering
Analytics engineering
Data pipelines
Data governance
Metadata management
Data quality
Data observability
Financial services
Global transaction banking
Predictive analytics

Benefits

Flexible benefit programs
Holistic well-being support

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineering
Global Transaction Banking
Data Strategy
Cloud Migration
Data Governance
Metadata Management
Data Quality
Data Observability
Business Intelligence
Advanced Analytics
Forecasting
Gen-AI
Operational Efficiency
Risk Management
Payments
Cash Management
Trade
Liquidity
SQL
Python
Dbt
Spark
Cloud Data Warehouses
Orchestration Frameworks
Financial Services
Bilingual
Data Pipelines
Modern Data Stack

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